Bhanunamikaze

Deterministic LLM-first SEO audits for websites, blog posts, and GitHub repositories. Use this when the user asks to "perform SEO analysis", "run SEO audit", "analyze SEO", "check technical SEO", "review schema", "Core Web Vitals", "E-E-A-T", "hreflang", "GEO", "AEO", or GitHub repository SEO optimization. For full/page/repo audits, run bundled scripts for evidence and return prioritized, confidence-labeled fixes.

Use this when the user wants to generate, normalize, verify, deduplicate, or export training datasets for Codex, Antigravity, or Claude Code from topics, URLs, reference material, web research, or existing JSONL/CSV files. Supports SFT and DPO workflows, custom export schemas, and deterministic local pipeline scripts.

Use this when the user wants to find security vulnerabilities in a codebase, perform a security audit, scan for CVEs, detect secrets, review React/Next.js or Go services, audit architecture/application/infrastructure flaws, review auth/API/crypto/business logic, check IaC/cloud/runtime configs, or generate a vulnerability report. Performs taint-flow, control-flow, architecture, and exploitability analysis across Python, JS/TS, Java, Go, PHP, Ruby, C/C++, C#, Rust, and infrastructure.